• King's College London logo

Generative AI in Higher Education

Understand the uses and limitations of generative AI to address its challenges and harness its potential for higher education.

6,623 enrolled on this course

Decorative image

Generative AI in Higher Education

6,623 enrolled on this course

  • 2 weeks

  • 3 hours per week

  • Digital certificate when eligible

  • Introductory level

Find out more about how to join this course

  • Duration

    2 weeks
  • Weekly study

    3 hours
  • 100% online

    How it works
  • Unlimited subscription

    $244.99 for one whole yearLearn more

Learn how generative AI could transform teaching, learning, and assessment

From the arrival of chatbots like ChatGPT to the spread of uncannily convincing AI-generated images, we are seeing increasingly dramatic advances in the development of artificial intelligence. Higher education is just one of many sectors set to be impacted by the changes.

On this two-week course from King’s College London, you’ll review the latest developments in generative AI. As you investigate the potential uses and limitations of GenAI tools, you’ll prepare for the future of higher education.

Explore the capabilities, limitations, and ethics of AI

You’ll start the course with an overview of generative AI. You’ll examine the technology behind chatbots and image generators, and learn about their main capabilities and limitations.

You’ll also debate ethical and environmental concerns around AI.

Understand the potential impact of AI in education

Once you’ve explored the potential of generative AI, you’ll home in on its specific impact on higher education.

You’ll learn how generative AI tools could transform the way we teach, learn, and evaluate students, potentially threatening academic integrity but opening up new opportunities to improve educational practices.

Consider the wider influence of AI on the job market

Last but not least, you’ll consider the impact generative AI is having on the employment landscape.

You’ll investigate the emergence of new roles and erosion of others, discussing how courses and curricula should evolve to meet the needs of the new job market.

By the end of the course, you’ll have the knowledge you need to take on the future of artificial intelligence.

Download video: standard or HD

Skip to 0 minutes and 4 seconds Dr Martin Compton: How will generative AI change what we study and how we study?

Skip to 0 minutes and 9 seconds Dr Sarah Bowden: What does the development of AI mean for assessment in higher education? Will assessment look the same as it does now in five or even two years time?

Skip to 0 minutes and 18 seconds Dr Caitlin Bentley: How we create responsible and trustworthy AI technologies, and what even is a responsible and trustworthy AI technology?

Skip to 0 minutes and 26 seconds Dr Charlotte Haberstroh: The development of AI and generative AI in particular is not just a technological leap. It’s a moment for us to pause and reconsider how we teach, learn and assess in higher education.

Skip to 0 minutes and 37 seconds MC: We hope that this course will be valuable to anyone working or studying in HE or anyone with an interest in the future of the sector.

Skip to 0 minutes and 45 seconds CH: You will hear from King’s students and expert King’s staff from a range of disciplines who have all contributed in valuable perspectives to this course.

Skip to 0 minutes and 53 seconds MC: We hope you’ll enjoy this opportunity to develop new literacies and competencies with us.


  • Week 1

    What can and should we do with generative AI?

    • Welcome

      In these introductory steps, you will learn about the structure of the course and meet your Lead Educators. You will also have the opportunity to introduce yourself to other learners on the course.

    • Activity 1: Grasping the basics of AI and generative AI

      This activity provides you with some general context regarding AI and generative AI, including some key definitions. You will examine how these technologies emulate human intelligence, and learn about some of the tools available.

    • Activity 2: Identifying capabilities and limitations

      In this activity, you will explore what generative AI tools do well, and also recognise some of their limitations. An examination of prompt engineering will help you understand how to get the best outputs from these tools.

    • Activity 3: Ethics, access and sustainability

      This activity addresses key ethical, social and environmental considerations regarding generative AI in education. At the end of the activity, you will discuss whether you think the benefits of these tools outweigh the risks.

    • Reflecting on Week 1

      In these concluding steps, you will share your reflections from the week, quiz yourself on some key themes, and prepare for Week 2.

  • Week 2

    The impact of using generative AI in education

    • Welcome to Week 2

      Here you will learn about the structure of Week 2 and prepare to apply what you have learned in Week 1 to specific higher education contexts.

    • Activity 4: AI in teaching and learning

      In this activity, you will explore how generative AI is being used to enrich teaching and learning. You will learn how to apply the PAIR framework for using AI in education, and discuss whether AI could ever replace teachers.

    • Activity 5: Understanding AI in assessment and evaluation

      This activity addresses the implications of AI for assessment and feedback in higher education. You will learn about the importance of critical AI literacy, and discuss the challenges of detecting GenAI outputs.

    • Activity 6: AI and its impact on employment and society

      This activity looks more broadly at how AI is creating new job roles and changing existing ones. You will reflect on how inclusive careers education and interdisciplinary curricula can tackle some of the emerging challenges.

    • Reflecting on Week 2

      In these concluding steps, you will share your reflections from the week and quiz yourself on some key themes. Finally, you will reflect on the whole course and share some actions you will take to develop further in this area.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Summarise how artificial intelligence and generative AI work, emulate human intelligence, and create novel content .
  • Describe the key capabilities, limitations, challenges and opportunities of generative AI in higher education teaching, learning, feedback and assessment .
  • Discuss the importance of considering social, ethical, inclusivity and sustainability dimensions while utilising generative AI in education .
  • Explain the influence of generative AI on the employment landscape, including the emergence of new job roles, and the implications for disciplinary curricula of changing skill requirements.

Who is the course for?

This course is designed for anyone interested in learning more about the impact generative AI is having on higher education.

It will be particularly valuable for academics, teachers, and other educators, university professional services staff, policy makers and students.

Who will you learn with?

Dr. Martin Compton leads on programme and assessment design at King's College London. https://www.kcl.ac.uk/people/martin-compton

Oguz A. Acar is a Professor in Marketing & Innovation at King's Business School, King's College London. Find out more about him here: https://www.kcl.ac.uk/people/oguz-a-acar

I'm a Lecturer in Education at KCL. My expertise includes active learning, educational inequalities and the political economy of education. https://www.kcl.ac.uk/people/charlotte-haberstroh

Who developed the course?

King's College London

King’s College London, established in 1829 and a founding college of the University of London, is one of the world’s leading research and teaching universities, based in the very heart of London.

Ways to learn

Buy this course

Subscribe & save

Limited access

Choose the best way to learn for you!

$89/one-off payment

$244.99 for one whole year

Automatically renews


Fulfill your current learning needDevelop skills to further your careerSample the course materials
Access to this courseticktick

Access expires 9 Jun 2024

Access to 1,000+ coursescrosstickcross
Learn at your own paceticktickcross
Discuss your learning in commentstickticktick
Certificate when you're eligiblePrinted and digitalDigital onlycross
Continue & Upgrade

Cancel for free anytime

Ways to learn

Choose the best way to learn for you!

Subscribe & save

$244.99 for one whole year

Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$89/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Printed and digital certificate when you’re eligible

Limited access


Sample the course materials

  • Access expires 9 Jun 2024

Find out more about certificates, Unlimited or buying a course (Upgrades)

Sale price available until 3 June 2024 at 23:59 (UTC). T&Cs apply.

Find out more about certificates, Unlimited or buying a course (Upgrades)

Sale price available until 3 June 2024 at 23:59 (UTC). T&Cs apply.

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

Want to know more about learning on FutureLearn? Using FutureLearn

Learner reviews

Learner reviews cannot be loaded due to your cookie settings. Please and refresh the page to view this content.

Get a taste of this course

Find out what this course is like by previewing some of the course steps before you join:

Do you know someone who'd love this course? Tell them about it...